MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. - Yura Perov; Logan Graham; Kostis Gourgoulias; Jonathan G. Richens; Ciarán M. Lee; Adam Baker; Saurabh Johri (AABI, 2019)

Counterfactual diagnosis. - Jonathan G. Richens; Ciarán M. Lee; Saurabh Johri (CoRR, 2019)

Leveraging directed causal discovery to detect latent common causes. - Ciarán M. Lee; Christopher Hart; Jonathan G. Richens; Saurabh Johri (CoRR, 2019)

Learning medical triage from clinicians using Deep Q-Learning. - Albert Buchard; Baptiste Bouvier; Giulia Prando; Rory Beard; Michail Livieratos; Dan Busbridge; Daniel H. Thompson; Jonathan G. Richens; Yuanzhao Zhang; Adam Baker; Yura Perov; Kostis Gourgoulias; et al. (CoRR, 2020)

Counterfactual harm. - Jonathan G. Richens; Rory Beard; Daniel H. Thompson (NeurIPS, 2022)

First do no harm: counterfactual objective functions for safe & ethical AI. - Jonathan G. Richens; Rory Beard; Daniel H. Thompson (CoRR, 2022)

Leveraging Directed Causal Discovery to Detect Latent Common Causes in Cause-Effect Pairs. - Ciarán M. Gilligan-Lee; Christopher Hart; Jonathan G. Richens; Saurabh Johri (IEEE Trans. Neural Networks Learn. Syst., 2024)